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Record W2369580744

Microbial mutagenic effects and mutation breeding advances induced by heavy ion beams

2014· article· en· W2369580744 on OpenAlexaff
Miao Jianshu

Bibliographic record

VenueJournal of Radiation Research and Radiation Processing · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Genetic and Mutation Studies
Canadian institutionsScience North
Fundersnot available
KeywordsIrradiationBiological effectHeavy ionMutagenesisMutation breedingIon beamIonMutationRadiation damagePrimary (astronomy)BiologyChemistryEnvironmental chemistryMaterials scienceBiophysicsPhysicsMutantGeneticsNuclear physics
DOInot available

Abstract

fetched live from OpenAlex

As an efficient and typical radiation source, heavy ion beam was widely used in biological mutagenesis breeding. The heavy ion beams of different mass, different charge number and different energy have their special processes and effects when interacting with the biological cells, which underwent physical, chemical and biological three stages, and led to end point biological effects ultimately, such as low doses of radiation sensitive phenomena and active oxygen metabolism changes. This article focuses on the primary endpoint of biological effect about the micro-organisms after the heavy ion beam irradiation, and the achievements made by heavy ion irradiation for microbial mutation breeding in agriculture and industry field in recent years.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.299
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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